Founding Data Engineer

Founding Data Engineer

Full-Time 90000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build scalable data pipelines and optimise data for impactful business decisions.
  • Company: Exciting startup transforming car dealership operations with data-driven solutions.
  • Benefits: Enjoy a 4-day work week, hybrid working, competitive salary, and equity options.
  • Other info: Dynamic startup culture with real ownership and growth opportunities.
  • Why this job: Join as a founding engineer and shape the future of data in a fast-paced environment.
  • Qualifications: Strong skills in Python, SQL, and experience with APIs and cloud technologies.

The predicted salary is between 90000 - 90000 £ per year.

A well-backed startup building a platform that enables car dealerships to acquire vehicles directly from private sellers in a more efficient, data-led way. They are scaling quickly across the US and are now at the point where data needs to evolve from something functional into something structured, scalable and commercially powerful.

This is a Founding Data Engineer hire, offering real ownership from day one and the opportunity to shape how data underpins both the product and growth of the business. They also offer a 4-day working week (Monday to Thursday), hybrid working with Wednesdays from home, and an office moving into Manchester city centre.

You’ll be joining an environment where data exists but is not yet optimised for scale. There is a bespoke dashboard, multiple data sources, and increasing complexity across marketing, CRM and dealership data. You will assess what exists, decide what needs to change, and build the right foundations. This role spans Data Engineering and Analytics Engineering, meaning you will not only move data but structure it in a way the business can use.

Responsibilities

  • Assess data quality, structure and flow
  • Build scalable data pipelines using Python and SQL
  • Model and transform data into clean, usable layers
  • Define architecture and tooling
  • Integrate APIs, CRM and SaaS tools
  • Own how data is surfaced across the business

What makes this different

You will make decisions on tooling and infrastructure, work through ambiguity, and balance speed with quality in a fast-moving environment.

Product and commercial focus

You will work closely with marketing, sales funnel and CRM data, helping shape a future data-driven product and improving conversion and performance.

What they’re looking for

  • Strong Python and SQL
  • MySQL experience
  • API and SaaS integrations
  • Cloud experience (Google Cloud preferred, AWS also relevant)
  • Startup mindset with ownership and pace
  • Experience working in a marketing-led or commercially driven environment, with a strong understanding of the sales funnel and customer journey, for example within SaaS, marketing platforms, marketplaces or recruitment businesses where data directly impacts acquisition, conversion and revenue

Environment

A fast-paced startup environment where priorities evolve, requiring pragmatism, ownership and collaboration.

Logistics & package

  • Location: Bolton, moving to Manchester city centre
  • Hybrid: 3 days onsite, Wednesdays from home
  • Working pattern: 4-day week (Mon–Thurs, 8am–6pm)
  • Salary: Up to 90,000 + bonus / equity

Founding Data Engineer employer: Mirai Tech Recruitment

Join a mission-driven organisation in London or Manchester as the Head of Data Science, where your work will directly impact the lives of the people you serve. With a strong focus on employee growth and a collaborative culture, you'll lead a multidisciplinary team to harness data for meaningful advocacy, all while enjoying a competitive salary, generous leave, and hybrid working options. This is an exceptional opportunity to contribute to a public sector initiative that values diversity and inclusivity, making it a truly rewarding place to work.

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Contact Details:

Mirai Tech Recruitment Recruitment Team

We think you need these skills to ace Founding Data Engineer

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Attention to Detail
Data Pipeline Development